Information extraction is a key component in dialogue systems. Knowledge about the world as well as knowledge specific to each word should be used for robust semantic processing. An intelligent agent is necessary for a dialogue system when meanings are strictly defined by using a world state model. An extended concept structure is proposed to represent knowledge associated with each word in a "speech-friendly" way. By considering knowledge stored in the word concept model as well as knowledge base of the world model, meaning of a given sentence can be correctly identified. This paper describes the extended concept structure and how knowledge about words can be stored in this concept model.
[1]
Hauke Schramm,et al.
The thoughtful elephant: strategies for spoken dialog systems
,
2000,
IEEE Trans. Speech Audio Process..
[2]
Morena Danieli,et al.
Field trials of the Italian ARISE train timetable system
,
1998,
Proceedings 1998 IEEE 4th Workshop Interactive Voice Technology for Telecommunications Applications. IVTTA '98 (Cat. No.98TH8376).
[3]
Victor Zue,et al.
JUPlTER: a telephone-based conversational interface for weather information
,
2000,
IEEE Trans. Speech Audio Process..
[4]
W A Woods,et al.
Procedural Semantics as a Theory of Meaning.
,
1981
.